economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
16 rows where cadence = "monthly", country = "Singapore" and covid_deaths = 0 sorted by end_date descending
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Suggested facets: end_date, days, total_deaths, expected_deaths, excess_deaths, excess_deaths_per_100k, month, total_deaths_per_7_days, expected_deaths_per_7_days, non_covid_deaths_per_7_days, excess_deaths_per_100k_per_7_days, start_date (date)
Link | rowid | country | region | region_code | start_date | end_date ▲ | days | year | week | population | total_deaths | covid_deaths | expected_deaths | excess_deaths | non_covid_deaths | covid_deaths_per_100k | excess_deaths_per_100k | excess_deaths_pct_change | cadence | month | total_deaths_per_7_days | covid_deaths_per_7_days | expected_deaths_per_7_days | excess_deaths_per_7_days | non_covid_deaths_per_7_days | covid_deaths_per_100k_per_7_days | excess_deaths_per_100k_per_7_days | quarter |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
362 | 362 | Singapore | Singapore | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 5637022 | 1938 | 0 | 1836.93315912449 | 101.066840875513 | 1938 | 0.0 | 1.79291194668945 | 0.0550193350114507 | monthly | 4 | 452.2 | 0.0 | 428.617737129047 | 23.5822628709529 | 452.2 | 0.0 | 0.418346120894205 | ||
22914 | 22914 | Singapore | Singapore | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 5637022 | 1938 | 0 | 1836.93315912449 | 101.066840875513 | 1938 | 0.0 | 1.79291194668946 | 0.0550193350114492 | monthly | 4 | 452.2 | 0.0 | 428.617737129047 | 23.5822628709529 | 452.2 | 0.0 | 0.418346120894205 | ||
360 | 360 | Singapore | Singapore | 0 | 2021-02-01 | 2021-02-28 | 28 | 2021 | 5637022 | 1769 | 0 | 1731.7762178827 | 37.2237821173005 | 1769 | 0.0 | 0.660344808256922 | 0.0214945682547893 | monthly | 2 | 442.25 | 0.0 | 432.944054470675 | 9.30594552932513 | 442.25 | 0.0 | 0.165086202064231 | ||
22912 | 22912 | Singapore | Singapore | 0 | 2021-02-01 | 2021-02-28 | 28 | 2021 | 5637022 | 1769 | 0 | 1731.7762178827 | 37.2237821173005 | 1769 | 0.0 | 0.660344808256922 | 0.0214945682547889 | monthly | 2 | 442.25 | 0.0 | 432.944054470675 | 9.30594552932513 | 442.25 | 0.0 | 0.165086202064231 | ||
359 | 359 | Singapore | Singapore | 0 | 2021-01-01 | 2021-01-31 | 31 | 2021 | 5637022 | 1871 | 0 | 1976.69456470838 | -105.694564708379 | 1871 | 0.0 | -1.87500713512169 | -0.0534703573305836 | monthly | 1 | 422.483870967742 | 0.0 | 446.350385579311 | -23.8665146115695 | 422.483870967742 | 0.0 | -0.423388707930704 | ||
22911 | 22911 | Singapore | Singapore | 0 | 2021-01-01 | 2021-01-31 | 31 | 2021 | 5637022 | 1871 | 0 | 1976.69456470838 | -105.694564708379 | 1871 | 0.0 | -1.87500713512168 | -0.0534703573305839 | monthly | 1 | 422.483870967742 | 0.0 | 446.350385579311 | -23.8665146115695 | 422.483870967742 | 0.0 | -0.423388707930704 | ||
358 | 358 | Singapore | Singapore | 0 | 2020-12-01 | 2020-12-31 | 31 | 2020 | 5637022 | 1851 | 0 | 1881.73819832148 | -30.7381983214771 | 1851 | 0.0 | -0.545291437952115 | -0.0163350025784117 | monthly | 12 | 417.967741935484 | 0.0 | 424.90862542743 | -6.94088349194643 | 417.967741935484 | 0.0 | -0.123130324698865 | ||
22910 | 22910 | Singapore | Singapore | 0 | 2020-12-01 | 2020-12-31 | 31 | 2020 | 5637022 | 1851 | 0 | 1881.73819832148 | -30.7381983214771 | 1851 | 0.0 | -0.545291437952116 | -0.0163350025784132 | monthly | 12 | 417.967741935484 | 0.0 | 424.90862542743 | -6.94088349194643 | 417.967741935484 | 0.0 | -0.123130324698865 | ||
355 | 355 | Singapore | Singapore | 0 | 2020-09-01 | 2020-09-30 | 30 | 2020 | 5637022 | 1751 | 0 | 1739.64986934337 | 11.350130656635 | 1751 | 0.0 | 0.20134976689172 | 0.00652437646025805 | monthly | 9 | 408.566666666667 | 0.0 | 405.918302846785 | 2.64836381988149 | 408.566666666667 | 0.0 | 0.0469816122747347 | ||
22907 | 22907 | Singapore | Singapore | 0 | 2020-09-01 | 2020-09-30 | 30 | 2020 | 5637022 | 1751 | 0 | 1739.64986934337 | 11.350130656635 | 1751 | 0.0 | 0.20134976689172 | 0.00652437646025517 | monthly | 9 | 408.566666666667 | 0.0 | 405.918302846785 | 2.64836381988149 | 408.566666666667 | 0.0 | 0.0469816122747347 | ||
354 | 354 | Singapore | Singapore | 0 | 2020-08-01 | 2020-08-31 | 31 | 2020 | 5637022 | 1860 | 0 | 1890.13819832148 | -30.1381983214771 | 1860 | 0.0 | -0.534647519940088 | -0.0159449707689316 | monthly | 8 | 420.0 | 0.0 | 426.805399620979 | -6.80539962097871 | 420.0 | 0.0 | -0.12072685934131 | ||
22906 | 22906 | Singapore | Singapore | 0 | 2020-08-01 | 2020-08-31 | 31 | 2020 | 5637022 | 1860 | 0 | 1890.13819832148 | -30.1381983214771 | 1860 | 0.0 | -0.534647519940087 | -0.0159449707689332 | monthly | 8 | 420.0 | 0.0 | 426.805399620979 | -6.80539962097871 | 420.0 | 0.0 | -0.12072685934131 | ||
348 | 348 | Singapore | Singapore | 0 | 2020-02-01 | 2020-02-29 | 29 | 2020 | 5637022 | 1762 | 0 | 1754.10485506628 | 7.8951449337178 | 1762 | 0.0 | 0.140058792279289 | 0.00450095381180593 | monthly | 2 | 425.310344827586 | 0.0 | 423.404620188413 | 1.90572463917326 | 425.310344827586 | 0.0 | 0.0338072946881042 | ||
22900 | 22900 | Singapore | Singapore | 0 | 2020-02-01 | 2020-02-29 | 29 | 2020 | 5637022 | 1762 | 0 | 1754.10485506628 | 7.8951449337178 | 1762 | 0.0 | 0.140058792279289 | 0.00450095381180726 | monthly | 2 | 425.310344827586 | 0.0 | 423.404620188413 | 1.90572463917326 | 425.310344827586 | 0.0 | 0.0338072946881042 | ||
347 | 347 | Singapore | Singapore | 0 | 2020-01-01 | 2020-01-31 | 31 | 2020 | 5637022 | 2091 | 0 | 1934.44849860122 | 156.551501398781 | 2091 | 0.0 | 2.77720224258093 | 0.0809282343324111 | monthly | 1 | 472.161290322581 | 0.0 | 436.81095129705 | 35.3503390255311 | 472.161290322581 | 0.0 | 0.627110183808598 | ||
22899 | 22899 | Singapore | Singapore | 0 | 2020-01-01 | 2020-01-31 | 31 | 2020 | 5637022 | 2091 | 0 | 1934.44849860122 | 156.551501398781 | 2091 | 0.0 | 2.77720224258094 | 0.0809282343324109 | monthly | 1 | 472.161290322581 | 0.0 | 436.81095129705 | 35.3503390255311 | 472.161290322581 | 0.0 | 0.627110183808598 |
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CREATE TABLE [economist_excess_deaths] ( [country] TEXT, [region] TEXT, [region_code] INTEGER, [start_date] TEXT, [end_date] TEXT, [days] INTEGER, [year] INTEGER, [week] INTEGER, [population] INTEGER, [total_deaths] INTEGER, [covid_deaths] INTEGER, [expected_deaths] FLOAT, [excess_deaths] FLOAT, [non_covid_deaths] INTEGER, [covid_deaths_per_100k] FLOAT, [excess_deaths_per_100k] FLOAT, [excess_deaths_pct_change] FLOAT, [cadence] TEXT , [month] INTEGER, [total_deaths_per_7_days] FLOAT, [covid_deaths_per_7_days] FLOAT, [expected_deaths_per_7_days] FLOAT, [excess_deaths_per_7_days] FLOAT, [non_covid_deaths_per_7_days] FLOAT, [covid_deaths_per_100k_per_7_days] FLOAT, [excess_deaths_per_100k_per_7_days] FLOAT, [quarter] INTEGER);